Samsung Galaxy S23 Ultra
Geekbench AI Score
793
Single Precision Score
693
Half Precision Score
1408
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 03 2025 06:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (Q)
|
100% |
1478
274.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1676
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1468
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2289
2.71 IPS |
|
|
Object Detection (SP)
|
98% |
294
23.4 IPS |
|
|
Object Detection (HP)
|
98% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
83% |
798
64.5 IPS |
|
|
Face Detection (SP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2115
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1198
9.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
911
7.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
2019
18.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2847
3.70 IPS |
|
|
Style Transfer (HP)
|
89% |
2015
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
5026
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1477
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.4 IPS |
|
|
Text Classification (HP)
|
99% |
350
467.1 IPS |
|
|
Text Classification (Q)
|
88% |
545
735.1 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
394
14.0 IPS |
